IBM Journey to AI blog

FEBRUARY 20, 2024

The collaboration is currently focused on building an AI-powered foundation model to make climate and weather applications faster and more accurate. The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts.

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Precisely

JULY 13, 2023

Weather and traffic patterns span time and space as well, providing tremendously valuable insights for decision-makers who have the right data and tools. By combining real-time weather data with policyholder information, they’re even able to preemptively notify their customers of an impending hurricane, hailstorm, or similar event.

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Precisely

AUGUST 7, 2023

Some offer very limited map visualization capabilities, but they generally don’t go much further than displaying locations on a two-dimensional plane. The goal of visualization is not creating pretty maps – it’s all about deriving information that moves you from “what happened” to “how,” “why,” and “in what context.”

Analytics 52

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DrivenData Labs

NOVEMBER 16, 2023

Better estimates of "snow water equivalent" (SWE) from real-time satellite, ground station, and meteorological data helps water managers plan resources and respond to extreme weather events like floods and droughts.

AI 292

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FlowingData

OCTOBER 7, 2022

It seems that there is always surprise when a hurricane makes landfall in some areas, which some attribute to poor forecast communication with the cone on a map that shows possible paths. Maybe, when it comes to communicating hurricane forecasts, we should get rid of possible-paths maps altogether and focus on possible outcomes.

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DrivenData Labs

JULY 19, 2023

Given the diverse landscape and shifting climate, accurate estimates of snow water equivalent (SWE) at a high spatiotemporal resolution are increasingly important to inform water management decisions and help respond to extreme weather events such as floods and droughts.

AI 130

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Precisely

FEBRUARY 14, 2023

A bot can query a historical weather data API to determine whether it hailed on a specific date, at a specific address. The same process can validate other adverse weather events and their severity – such as wind, precipitation, fire, and flooding. Policy, location, and weather data make it all possible. Hail in the forecast?

Data Quality 52

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